CREDIT CARD FRAUD DETECTION USING MACHINE-LEARNING
- Dept of ISE, RYM Engineering College, Ballari.
- Professor, Dept of ISE, RYM Engineering College, Ballari.
- Cite This Article as
- Corresponding Author
The recent advances of e-commerce and e-payment systems have sparked an increase in financial fraud cases such as credit card fraud. It is therefore crucial to implement mechanisms that can detect the credit card fraud. Features of credit card frauds play important role when machine learning is used for credit card fraud detection, and they must be chosen properly. This paper proposes a machine learning (ML) based credit card fraud detection engine using ML classifiers: Decision Tree (DT), Logistic Regression (LR), Artificial Neural Network (ANN). To validate the performance, the proposed credit card fraud detection engine is evaluated using a dataset generated from European cardholders. The result demonstrated that our proposed approach outperforms existing systems.
[Prateeksha M.S, B. Naga Swetha and Manjula Patil (2023); CREDIT CARD FRAUD DETECTION USING MACHINE-LEARNING Int. J. of Adv. Res. 11 (Apr). 1559-1563] (ISSN 2320-5407). www.journalijar.com
Article DOI: 10.21474/IJAR01/16824
DOI URL: http://dx.doi.org/10.21474/IJAR01/16824
Download Full PaperDownload PDF No. of Downloads: 3 | No. of Views: 4
This work is licensed under a Creative Commons Attribution 4.0 International License.